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Remote Aviation Data Analyst Jobs in Rochester, NY

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Analyze process and laboratory data to identify improvement opportunities and make recommendations

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Showing results 21-40

Remote Aviation Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do remote aviation data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote aviation data analyst in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a remote aviation data analyst?

A Remote Aviation Data Analyst is a professional who collects, processes, and analyzes aviation-related data—such as flight patterns, safety reports, and operational metrics—while working from a location outside of a traditional office or airport. They use statistical tools and software to interpret data and provide insights that help improve airline performance, safety, and efficiency. This role often involves creating reports and visualizations to support decision-making by aviation professionals and management. Remote Aviation Data Analysts typically collaborate with teams via digital communication tools and must be adept at handling large datasets and industry-specific software.

What are the key skills and qualifications needed to thrive as a remote aviation data analyst?

To thrive as a Remote Aviation Data Analyst, you need strong analytical abilities, aviation industry knowledge, proficiency in data analysis, and typically a degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Python, Excel, and aviation data management systems is highly valuable, and certifications like Certified Analytics Professional (CAP) can be advantageous. Attention to detail, problem-solving, and effective remote communication are important soft skills for collaborating with teams and stakeholders. These skills ensure accurate insights, effective decision-making, and smooth operations in a data-driven, remote aviation environment.

How does a remote aviation data analyst typically collaborate with airline operations teams and other stakeholders?

As a Remote Aviation Data Analyst, you’ll regularly interact with airline operations teams, safety departments, and IT specialists through virtual meetings and collaborative platforms. Communication is key, as you'll need to clarify data requirements, share analytical findings, and provide actionable insights to both technical and non-technical stakeholders. While much of your work is independent and data-focused, successful analysts proactively engage with colleagues to ensure their analyses align with operational priorities and contribute to decision-making. Building strong remote working relationships and maintaining clear documentation are essential for effective teamwork.

What is the difference between Remote Aviation Data Analyst vs Remote Aviation Operations Coordinator?

AspectRemote Aviation Data AnalystRemote Aviation Operations Coordinator
Required CredentialsBachelor's in Aviation, Data Science, or related field; certifications like FAA or data analysis certificationsBachelor's in Aviation Management or related; certifications in operations or safety
Work EnvironmentData analysis, reporting, and modeling remotely; often in tech or aviation companiesCoordinating flight schedules, safety, and logistics remotely; in aviation or airline companies
Industry UsageCommonly used in aviation analytics, safety, and planning departmentsUsed in airline operations, flight planning, and logistics teams

The Remote Aviation Data Analyst focuses on analyzing aviation data to support decision-making, while the Remote Aviation Operations Coordinator manages flight operations and logistics remotely. Both roles require aviation knowledge but differ in daily tasks and focus areas.

What are popular job titles related to Remote Aviation Data Analyst jobs in Rochester, NY?

For Remote Aviation Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Aviation Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Remote Aviation Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Aviation Data Analyst jobs?

Cities near Rochester, NY with the most Remote Aviation Data Analyst job openings:

Infographic showing various Remote Aviation Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Rochester, NY • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.